Triple
T18522478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ヒデキ |
E452621
|
entity |
| Predicate | isGivenNameForLanguage |
P99146
|
FINISHED |
| Object | ja |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ja | Statement: [ヒデキ, isGivenNameForLanguage, ja]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isGivenNameForLanguage Context triple: [ヒデキ, isGivenNameForLanguage, ja]
-
A.
isNamedLanguage
Indicates that a language entity bears a specific name or designation.
-
B.
isGivenNameInCulture
chosen
Indicates that a particular given (first) name is used or recognized within a specified culture or cultural context.
-
C.
isIndigenousLanguageNameOf
Indicates that a given name is the name of a language as expressed in an indigenous language.
-
D.
isLanguageOf
Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
-
E.
hasNameInLocalLanguage
Indicates that an entity is associated with a name expressed in the local or native language of a given context or region.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5338f6da48190bdb374019d10db05 |
completed | April 19, 2026, 7:57 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:37 a.m.